Improving The Quality Of Service (Qos) Of Cellular Networks Using Dynamic Time Threshold Scheme Analysis

ESSIEN | 1 page (29601 words) | Theses
Electrical Electronics Engineering | Co Authors: GODWIN DANIEL

ABSTRACT

This work presents a dynamic time threshold based scheme for voice calls in cellular networks In order to carry out effective response of the dynamic time threshold scheme on cellular network for improving the QoS, Globacom Mobile network in Abuja, Nigeria was used for the experimentation. Abuja is located at longitude 7.491302°E, latitude 9.072264°N in Nigeria. The base station used for this study has a cell site id: ABJ 002NC. The frequency of the network is 805.24MHz and the base station has a transmitting power of  45.1dBm and the base station is located at longitude 7.4037°E, latitude 9.0678°N in Abuja. The measurements carried out from the investigative base station were the performance indicators which include Traffic Channel Congestion Ratio, Call Drop Ratio and Call Setup Success Ratio. The sample measurements were generated from the BTSs which also provided the File Transfer Protocol (FTP) services to the Network Management System (NMS). The NMS which is known as the iManager M2000 was used to pull CSSR, CDR and TCH Congestion Ratio measurements for the period of the study. The NMS is hosted on a central server which is connected to other network elements such as BSC, BTS, MSC, HLR etc. The server with its NMS software was configured to retrieve BTS measurements of remote MSCs and its BSCs. The collated data from the Manager server were sorted and analyzed by the codes written in Microsoft Visual Basic 2010 Express Edition programming language for this analysis. The results obtained showed that busy hour TCH Congestion Ratio was 1.5993% which is within the expected threshold value of ≤ 2%. Also the busy hour CDR was 1.5425% and again is within the expected threshold value of ≤ 2%. Finally the Busy hour CSSR was 98.8507% which is within the expected threshold set by NCC. There was 2% improvement of traffic channel congestion, call drop ratio and call setup success ratio when dynamic time threshold scheme was applied. Efforts should be made to prohibit all forms of promos in order to improve the quality of service delivery.

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APA

ESSIEN, E (2022). Improving The Quality Of Service (Qos) Of Cellular Networks Using Dynamic Time Threshold Scheme Analysis. Mouau.afribary.org: Retrieved Nov 23, 2024, from https://repository.mouau.edu.ng/work/view/improving-the-quality-of-service-qos-of-cellular-networks-using-dynamic-time-threshold-scheme-analysis-7-2

MLA 8th

ESSIEN, ESSIEN. "Improving The Quality Of Service (Qos) Of Cellular Networks Using Dynamic Time Threshold Scheme Analysis" Mouau.afribary.org. Mouau.afribary.org, 05 Oct. 2022, https://repository.mouau.edu.ng/work/view/improving-the-quality-of-service-qos-of-cellular-networks-using-dynamic-time-threshold-scheme-analysis-7-2. Accessed 23 Nov. 2024.

MLA7

ESSIEN, ESSIEN. "Improving The Quality Of Service (Qos) Of Cellular Networks Using Dynamic Time Threshold Scheme Analysis". Mouau.afribary.org, Mouau.afribary.org, 05 Oct. 2022. Web. 23 Nov. 2024. < https://repository.mouau.edu.ng/work/view/improving-the-quality-of-service-qos-of-cellular-networks-using-dynamic-time-threshold-scheme-analysis-7-2 >.

Chicago

ESSIEN, ESSIEN. "Improving The Quality Of Service (Qos) Of Cellular Networks Using Dynamic Time Threshold Scheme Analysis" Mouau.afribary.org (2022). Accessed 23 Nov. 2024. https://repository.mouau.edu.ng/work/view/improving-the-quality-of-service-qos-of-cellular-networks-using-dynamic-time-threshold-scheme-analysis-7-2

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